IIC Journal of Innovation 8th Edition | Page 40

The Path from Data to Actionable Information as a Driver for the Industrial Ecosystem
were used , such as R to find optimal solutions ).
CONCLUSIONS
The process of taking data from a raw , proprietary format to prescriptive wisdom requires a set of transformations and analytics that adds meaning and context at every step . As with any good architecture , the process splits the responsibilities into multiple composable stages , as illustrated in Figure 1 : Data and Meaning , where each stage adds capabilities and value to the business and helps achieve measurable outcomes .
In many implementations , some of these stages will be combined into a single step , but even when that is done , the intermediary transformations and analytics are hidden in a common component . We have found that in most cases , these stages of data analysis must occur and , when put into a framework , it is easier to reason on each step in the process separately and create a more flexible system .
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